What impressed me most is the contextual formatting layer. The model does not just transcribe speech. It structures information automatically: → Dates
→ Numbers
→ Currency values
→ Speaker separation
→ Precise timestamps That means conversations instantly become usable
TOOLS
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AI Model’s Contextual Formatting Capabilities for Speech Transcription
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Google to Reveal New Gemini Spark AI Agent at Google I/O
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GOOGLE : A new Gemini Spark Agent is about to be revealed during Google I/O. Gemini Spark will work as a 24/7 assistant that can learn from user behavior and work with connected apps and skills. > Let Gemini do more as your everyday AI agent, ready 24/7 to help with your
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Build Your AI Employee in One Afternoon
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this guy literally breaks down the exact Claude + Obsidian playbook to build your own AI employee in a single afternoon
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GeoSpy AI privacy implications and capability analysis
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GeoSpy AI can locate a photo from a few pixels in a reflection.
— Pascal Bornet (@pascal_bornet) 14 mai 2026
No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time.
This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable.
Because the privacy… pic.twitter.com/dmCCojpWrMGeoSpy AI can locate a photo from a few pixels in a reflection. No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time. This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable. Because the privacy -
LangChain introduces SmithDB and LangSmith Engine for agent observability
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which was your favorite launch? SmithDB (database purpose built for agent trace data): https://
langchain.com/blog/introduci
ng-smithdb
… LangSmith Engine (agent for improving your agents based on trace data): https://
langchain.com/blog/introduci
ng-langsmith-engine
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Hidden features turn Claude into AI collaborator
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Stop using Claude like a search engine. You’re missing out on the 3 "hidden" features that turn Claude into a full-blown AI collaborator: Artifacts, Projects, and Skills. If you aren't using these, you're working 10x harder than you need to. Learn how to automate your
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Fastokens addresses tokenization bottlenecks in AI inference pipelines
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Thanks for building with us @CrusoeAI As context windows explode, tokenization is becoming a major hidden bottleneck in inference pipelines. fastokens is open source, already integrated with Dynamo & @lmsysorg
, and designed for the next generation of 100K-token agent -
Using AI coding agents for automated overnight development
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What madness that they've got a robot working 8 hours. Oh well, I'm setting Codex with a /goal for tonight and leaving it to work while I sleep.
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AI agent one-shots video with multi-tool workflow
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just tried this out and it one-shotted* this video: "before the agent does anything"
— Yohei (@yoheinakajima) 13 mai 2026
*i generated the narrative using chatgpt and used that as a prompt. featuring: @e2b @runanywhereai @composio @mem0ai @firecrawl @browser_use @agentmail @covenantlabsai
some thoughts:
– i… https://t.co/X3RgWs9MOk pic.twitter.com/xjmXZF11HPjust tried this out and it one-shotted* this video: "before the agent does anything" *i generated the narrative using chatgpt and used that as a prompt. featuring: @e2b @runanywhereai @composio @mem0ai @firecrawl @browser_use @agentmail @covenantlabsai some thoughts:
– i